On efficient adjustment in causal graphs

17 February 2020

Papers citing "On efficient adjustment in causal graphs"

25 / 25 papers shown

Title
Practically Effective Adjustment Variable Selection in Causal Inference Atsushi Noda Takashi Isozaki 104 0 0 04 Feb 2025
Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables Zheng Li Feng Xie Xichen Guo Yan Zeng Hao Zhang Zhi Geng CML 166 0 0 25 Nov 2024
Efficient least squares for estimating total effects under linearity and causal sufficiency By F. Richard Guo Emilija Perković CML 61 13 0 08 Aug 2020
Efficient adjustment sets in causal graphical models with hidden variables Ezequiel Smucler F. Sapienza A. Rotnitzky CML OffRL 55 32 0 22 Apr 2020
Efficient adjustment sets for population average treatment effect estimation in non-parametric causal graphical models A. Rotnitzky Ezequiel Smucler CML 64 30 0 01 Dec 2019
Identifying causal effects in maximally oriented partially directed acyclic graphs Emilija Perković CML 40 37 0 07 Oct 2019
Graphical Criteria for Efficient Total Effect Estimation via Adjustment in Causal Linear Models Leonard Henckel Emilija Perković Marloes H. Maathuis CML 64 104 0 04 Jul 2019
$A unifying approach for doubly-robust $\ell_1$ regularized estimation of causal contrasts$ A unifying approach for doubly-robust $\ell_1$ regularized estimation of causal contrasts Ezequiel Smucler A. Rotnitzky J. M. Robins CML 61 79 0 07 Apr 2019
The Hardness of Conditional Independence Testing and the Generalised Covariance Measure Rajen Dinesh Shah J. Peters 140 301 0 19 Apr 2018
Interpreting and using CPDAGs with background knowledge Emilija Perković M. Kalisch Marloes H. Maathuis 43 52 0 07 Jul 2017
Bootstrapping and Sample Splitting For High-Dimensional, Assumption-Free Inference Alessandro Rinaldo Larry A. Wasserman M. G'Sell Jing Lei 55 94 0 16 Nov 2016
Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs Emilija Perković J. Textor M. Kalisch Marloes H. Maathuis OffRL 59 144 0 22 Jun 2016
A Complete Generalized Adjustment Criterion Emilija Perković J. Textor M. Kalisch Marloes H. Maathuis OffRL CML 43 72 0 06 Jul 2015
A Scalable Conditional Independence Test for Nonlinear, Non-Gaussian Data Joseph Ramsey 63 52 0 20 Jan 2014
Exact post-selection inference, with application to the lasso Jason D. Lee Dennis L. Sun Yuekai Sun Jonathan E. Taylor 215 732 0 25 Nov 2013
Supplementary Appendix for "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls" A. Belloni Victor Chernozhukov Christian B. Hansen 265 1,405 0 27 May 2013
Causal Inference and Causal Explanation with Background Knowledge Christopher Meek CML 263 634 0 20 Feb 2013
A significance test for the lasso R. Lockhart Jonathan E. Taylor Robert Tibshirani Robert Tibshirani 250 658 0 30 Jan 2013
Direct and Indirect Effects Judea Pearl CML 94 2,172 0 10 Jan 2013
Selection of Identifiability Criteria for Total Effects by using Path Diagrams Manabu Kuroki Zhihong Cai CML 78 38 0 11 Jul 2012
On the Validity of Covariate Adjustment for Estimating Causal Effects I. Shpitser T. VanderWeele J. M. Robins CML 92 203 0 15 Mar 2012
Adjustment Criteria in Causal Diagrams: An Algorithmic Perspective J. Textor Maciej Liskiewicz CML 71 70 0 14 Feb 2012
Identifying the consequences of dynamic treatment strategies: A decision-theoretic overview A. Dawid Vanessa Didelez 139 108 0 17 Oct 2010
Sup-norm convergence rate and sign concentration property of Lasso and Dantzig estimators Karim Lounici 447 242 0 30 Jan 2008
Can One Estimate The Unconditional Distribution of Post-Model-Selection Estimators? Hannes Leeb Benedikt M. Poetscher 432 363 0 12 Apr 2007